Cover Image

A Truncated Newton Method for Optimal Transport

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kemertas, Mete, Farahmand, Amir-massoud, Jepson, Allan D.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Mathematical Software Optimization and Control G.3; G.4; I.4.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
by: Kemertas, Mete, et al.
Published: (2023)

Unlocking FedNL: Self-Contained Compute-Optimized Implementation
by: Burlachenko, Konstantin, et al.
Published: (2024)

Disciplined Saddle Programming
by: Schiele, Philipp, et al.
Published: (2023)

Optimization Methods and Software for Federated Learning
by: Burlachenko, Konstantin
Published: (2025)

Universal Neural Optimal Transport
by: Geuter, Jonathan, et al.
Published: (2022)

Hessians in Birkhoff-Theoretic Trajectory Optimization
by: Ross, I. M.
Published: (2025)

$\texttt{skwdro}$: a library for Wasserstein distributionally robust machine learning
by: Vincent, Florian, et al.
Published: (2024)

CEopt: A MATLAB Package for Non-convex Optimization with the Cross-Entropy Method
by: Cunha Jr, Americo, et al.
Published: (2024)

An Efficient Local Optimizer-Tracking Solver for Differential-Algebriac Equations with Optimization Criteria
by: Fleming, Alexander, et al.
Published: (2024)

Automated Model Selection for Generalized Linear Models
by: Schwendinger, Benjamin, et al.
Published: (2024)

Assembly of FETI dual operator using CUDA
by: Homola, Jakub, et al.
Published: (2025)

The ensmallen library for flexible numerical optimization
by: Curtin, Ryan R., et al.
Published: (2021)

AdamHD: Decoupled Huber Decay Regularization for Language Model Pre-Training
by: Guo, Fu-Ming, et al.
Published: (2025)

libhmm: A Modern C++20 Library for Hidden Markov Models with Correct MLE Emission M-Steps
by: Wolfman, Gary
Published: (2026)

Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning
by: Wu, Chia-Yuan, et al.
Published: (2024)

Fast Relax-and-Round Unit Commitment with Sub-hourly Mechanical and Ramp Constraints
by: Regev, Shaked, et al.
Published: (2026)

Achieving Exponential Asymptotic Optimality in Average-Reward Restless Bandits without Global Attractor Assumption
by: Hong, Yige, et al.
Published: (2024)

Stochastic Gradient Descent in Non-Convex Problems: Asymptotic Convergence with Relaxed Step-Size via Stopping Time Methods
by: Jin, Ruinan, et al.
Published: (2025)

Context-dependent Causality (the Non-Nonotonic Case)
by: Billfeld, Nir, et al.
Published: (2024)

Fast Relax-and-Round Unit Commitment with Economic Horizons
by: Regev, Shaked, et al.
Published: (2026)

PyGenStability: Multiscale community detection with generalized Markov Stability
by: Arnaudon, Alexis, et al.
Published: (2023)

The Blueprints of Intelligence: A Functional-Topological Foundation for Perception and Representation
by: Di Santi, Eduardo
Published: (2025)

Graphical Quadratic Algebra
by: Stein, Dario, et al.
Published: (2024)

Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
by: Maczuga, Paweł, et al.
Published: (2023)

Ricci-Notation Tensor Framework for Model-based Approaches to Imaging
by: Joseph, Dileepan
Published: (2023)

Smooth Integer Encoding via Integral Balance
by: Semenov, Stanislav
Published: (2025)

Modelling Global Trade with Optimal Transport
by: Gaskin, Thomas, et al.
Published: (2024)

Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
by: Zhang, Xiangcheng, et al.
Published: (2025)

Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption
by: Hong, Yige, et al.
Published: (2023)

Two Generalized Derivative-free Methods to Solve Large Scale Nonlinear Equations with Convex Constraints
by: Hamiss, Kabenge, et al.
Published: (2025)

An elementary algorithm for classifying digital objects based on the variational principle
by: Antonets, Mikhail
Published: (2024)

Coordinate Descent for SLOPE
by: Larsson, Johan, et al.
Published: (2022)

Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes
by: Lange-Hegermann, Markus, et al.
Published: (2024)

Graph Attention for Heterogeneous Graphs with Positional Encoding
by: Nayak, Nikhil Shivakumar
Published: (2025)

Variance Reduced Policy Gradient Method for Multi-Objective Reinforcement Learning
by: Guidobene, Davide, et al.
Published: (2025)

Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
by: TeBlunthuis, Nathan, et al.
Published: (2023)

Symbolic and User-friendly Geometric Algebra Routines (SUGAR) for Computations in Matlab
by: Velasco, Manel, et al.
Published: (2024)

Extending JumpProcess.jl for fast point process simulation with time-varying intensities
by: Zagatti, Guilherme Augusto, et al.
Published: (2023)

Tensor Decompositions for Count Data that Leverage Stochastic and Deterministic Optimization
by: Myers, Jeremy M., et al.
Published: (2022)

Local Adjoints for Simultaneous Preaccumulations with Shared Inputs
by: Blühdorn, Johannes, et al.
Published: (2024)